E173: Can we train AI to THINK like a fincrime investigator?

E173: Can we train AI to THINK like a fincrime investigator?

70% of us have already let AI loose on our day-to-day tasks — summarising documents, knocking out images, the usual.


Turning it loose on a financial crime investigation is a different question entirely.


Our expert host, Robin Lycka, is joined by Asia Holt, Fincrime Domain Lead at Strise, to put it to the test: can we train AI to think like a fincrime investigator?


They build an AI investigator from scratch, run it against a real case, and find out exactly where the limit of its effectiveness lies!


Disclaimer: Everything mentioned in the podcast comes from public company records and reporting already published by reputable news sources. Nothing here is a new allegation — we're pointing to documented discrepancies, not proof of anything. No one named on this podcast is being accused of wrongdoing.


Producer: Matthew Dunne-Miles

Editor: Dominic Delargy

Video: Loïs Dunford


Subscribe to our newsletter, Fresh Laundry, here.

____________________________________


The Laundry connects anti-money laundering, compliance and financial crime to the real world — the headlines, the regulation behind them, and what non-compliance actually costs.


Hosted by Marit Rødevand, Fredrik Riiser and Robin Lycka, each episode brings on practitioners from banking, fintech, regulators and investigative journalism to unpack what's actually happening in the industry.


The Laundry is proudly produced by Strise manual fincrime works ends now.


Get in touch: laundry@strise.ai


Hosted on Acast. See acast.com/privacy for more information.

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Episoder(203)

E172: Is this the end of beneficial ownership data?

E172: Is this the end of beneficial ownership data?

In August 2026, FinCEN made it official: US companies no longer have to disclose who actually owns them.Five years after the Corporate Transparency Act was signed into law as America's "toughest anti-...

3 Sep 26min

E171: How do we put the "human" back into AI processes in fincrime?

E171: How do we put the "human" back into AI processes in fincrime?

You've seen the stories: a big company makes staff redundant, replaces them with a shiny AI feature, then quietly hires them back once it all goes wrong.Why does this keep happening? Swapping human ex...

27 Aug 28min

E170: What does the board need to know about AML?

E170: What does the board need to know about AML?

"AML is a board-level topic." – but is this true in practice?Is this more a provocative challenge than a current statement of fact? Under the EU's incoming AMLR, that may be set to change, but are mos...

6 Aug 34min

Re-Spin: How do we stop MLRO burnout?

Re-Spin: How do we stop MLRO burnout?

MLROs are vital to financial services - a crucial link between companies, the risks they face, and the authorities.The UK’s Financial Conduct Authority have previously sent a warning to hundreds of c...

30 Jul 30min

Re-Spin: Did Wirecard's collapse shape the future of whistleblowing?

Re-Spin: Did Wirecard's collapse shape the future of whistleblowing?

The Wirecard scandal has become the stuff of legend.A German payments company, worth tens of billions of euros, collapsed following the exposure of massive accounting fraud and financial misconduct. I...

23 Jul 26min

E169: Is AMLA *really* on track?

E169: Is AMLA *really* on track?

No one said building a regulator from the ground up would be easy.But when the organisation chair, Bruna Szego, describes it as like ‘flying a plane while building it’ – you have to wonder how things ...

16 Jul 38min

E168: Can following the money disrupt the illegal wildlife trade?

E168: Can following the money disrupt the illegal wildlife trade?

The illegal wildlife trade is the fourth-biggest criminal market on the planet — behind only narcotics, counterfeiting, and human trafficking. And like any criminal trade of that scale, there's a huge...

9 Jul 31min

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